Instructions to use londogard/flair-swe-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use londogard/flair-swe-ner with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("londogard/flair-swe-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4898b6be912ed8c8b262fe9c10f544b46b71fdcae061287255cf9bb383f10082
- Size of remote file:
- 352 MB
- SHA256:
- bf20d87ad5710aa5e68a297b0dad9db8f552632e549ed3d025bdbc8600922087
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